可觀測性與維運

這套自架交易系統涵蓋 Python 策略、回測、模擬交易、實盤執行與監控。 Jev 評估訂單、策略、曝險、部位及預算資訊，為進場篩選傳回具型別的選擇與機率。

OpenInference 提供 AI 應用追蹤規範與插樁，涵蓋模型呼叫、檢索及外部工具。 TypeSafe 整合將 systemOne 呼叫記為 span，包含 JSON 輸入輸出、模型和詞元用量；範例涵蓋 Choice、Noul 與 Score。

DSCODE 是 macOS 程式開發代理，終端介面、命令列與腳本共享持久工作階段執行環境。 儲存庫包含獨立的 Jev 用戶端，連接 OpenRouter alpha Decisions 端點，支援 Choice、Score 與 Noul。 可在工作階段中編輯、測試及向其他代理交接任務；Jev 用戶端需要 API 金鑰。

TypeSafe Mario 是實驗性 NES 控制迴圈，使用模擬器遙測和 RAM 擷取的遊戲觀察。 準備 Python 3.13、TypeSafe 金鑰及本機遊戲環境，先檢查 state-demo，再執行 play。

Local Context Compiler (lcc): clean, dedupe and compact prompt context before it reaches the model, then report every block dropped, the cache tokens a pass invalidates and when pruning pays off. Runs offline with a local 1K decision model. MIT, no API key, zero telemetry.

Confidence-gated incident routing with TypeSafe Jev

A unified, async Python framework for LLM applications—chat, autonomous agents, RAG, and sandboxed code execution. Supports OpenAI, Anthropic, Gemini, Ollama, and more through a single API. Features an 8-phase cognitive reasoning cycle, Docker-based isolation, human-in-the-loop approvals, session management, and comprehensive observability.

Deterministic-first cognitive orchestration with bounded TypeSafe JEV supervision, evidence-aware escalation, and privacy-minimizing telemetry.

An autonomous risk-monitoring MCP server. Define a risk profile — a topic, the geographic locations to watch, and the policy triggers that matter — and the server runs an agentic sweep: live web search scoped by a judgment model (Jev), source scoring, and a Markdown briefing you can read from any MCP client.

A universal, sub-100ms FOSS gaming bot framework powered by OpenCV for lightning-fast visual telemetry and Jev System 1 AI for non-autoregressive decision loops.

Single-agent Pi coding coprocessor with Jev semantic gates, baseline-to-current diff review, and append-only observability telemetry.

Autonomous PlayStation 2 AI Agent with real-time visual telemetry HUD powered by TypeSafe Jev System One

Three composable judgment pipelines on TypeSafe's Jev: support-ticket triage, observability alert triage, and a deploy-risk gate.

ForgeOS Browser - a private, local-first browser built for humans and prepared for trusted AI agents. Educational prototype. Zero telemetry.

一个用TypeSafe Jev打简化掼蛋的demo；TypeSafe Jev plays simplified Guandan — LLM decision-making over dynamic legal card actions with partial observability.

Jev Guard is a real-time Windows process monitoring application powered by TypeSafe's Jev AI model. It tracks newly launched processes, logs event metadata (paths, command lines, and parent processes) to a local SQLite database, and classifies risk levels—labeling events as benign, suspicious, or malicious on a live interactive dashboard.

Trace DeFi incident exposure through sourced portfolio dependencies with optional Jev classification.

Cheap fail-open semantic edge layer for Jev (TypeSafe System One): decision service + confidence policy + decision logging + blind eval harness + skill router over 1,000+ skills. Stdlib-only Python.

Experiments with Jev (TypeSafe classifier via OpenRouter): an incident-triage agent with Jev as tool and gate, and a smart model router compared against an LLM router

Local observability proxy and playground for TypeSafe Jev

Jev-powered operations decision support for Backstage: readiness checks, incident triage, change review, template and team recommendations, and catalog reranking.

Live-stream encoder settings from telemetry and history: TypeSafe's Jev decision model inside a deterministic safety envelope. Deno, Node, edge runtimes.

Conversational agent workspace with guided onboarding, voice, evaluations and monitoring.

AI Eval Platform — an evaluation and quality-engineering layer for LLM, RAG and agentic systems, with production observability integrations.